Data protection regulation such as GDPR and the new Swiss DSG (becoming effective in 2023) forces organizations to implement suitable measures and processes to protect personal identifiable data/information (PID/PII). In particular, organizations have to be able to find all such data on a given person and to delete them if requested – or when the applicable retention period of the respective data expires. (...). Complying with these requirements is challenging since personal identifiable data are typically distributed across multiple systems and organizational units and hard to find without gaps, especially for the case of unstructured data (documents and other textual objects). In this presentation we will describe an LT approach to support organizations in these challenges: the "k2 PID Cockpit" which is currently developed by Karakun and a partner. At its core, this tool is a search solution combined with semantic text analyzers (classification and extraction). It connects with the relevant data systems where PID records might be found and can be combined with regulatory information and workflow engines.
